Atakan Efe Kanman
About Atakan Efe Kanman
Atakan Efe Kanman is a Robotics Software Developer with extensive experience in the field, currently working at Kindred AI since 2020. He has previously held positions at various companies, including nanoPay Corporation and General Motors, and has contributed to significant projects in robotics and automation.
Current Role at Kindred AI
Atakan Efe Kanman serves as a Robotics Software Developer at Kindred AI since 2020. In this role, he focuses on developing advanced robotics solutions that enhance automation in various industries. His work contributes to the company's mission of integrating AI with robotics to improve operational efficiency.
Previous Experience in Robotics Software Development
Prior to his current position, Kanman worked at several notable companies in the robotics field. He was a Software Developer - Robotics at Epson Canada from 2018 to 2020. Before that, he held roles as a Software Engineer at nanoPay Corporation and Connected Lab in 2015, each for four months. He also worked as a Robotics & Vision Software Engineer at Bluewrist Inc. from 2017 to 2018.
Educational Background in Mechatronics and Robotics
Kanman earned a Bachelor of Applied Science (BASc) in Mechatronics, Robotics, and Automation Engineering from the University of Waterloo. His studies spanned from 2012 to 2017, providing him with a solid foundation in engineering principles relevant to robotics and automation.
Significant Contributions and Projects
Kanman has been involved in several impactful projects throughout his career. He developed a prototype for General Motors that successfully passed the Gate 4 evaluation at the GM Innovation Lab. Additionally, he co-developed a minimum viable product for nanoPay that played a crucial role in securing over $15 million in Series A funding.
Specialization in Motion Optimization Techniques
Kanman specializes in motion optimization techniques that include jerk-constrained control, multi-robot collaboration, and velocity and admittance control. His expertise allows him to enhance the performance and efficiency of robotic systems in various applications.